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Nitrogen fertilizer classification using multivariate fingerprinting with stable isotopes

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Nutrient Cycling in Agroecosystems Aims and scope Submit manuscript

Abstract

The steadily growing demand for fertilizers and increasing interest for organic inputs result in rapid expansion and diversification of the solid nitrogen (N) fertilizer market. Fertilizer legislations distinct different fertilizers classes (i.e. organic, organo-mineral, inorganic), but standards and norms related to nutrient- and carbon origin remain dynamic and lag behind. This, together with poor analytical understanding of commercially available N sources leaves many open questions to industries and farmers, fostering increased prevalence of fertilizer adulteration and false claims on the organic fertilizer market. This work presents a thorough, science-based multivariate assessment on a wide sample set (n = 52) of the solid N fertilizer market, including multiple state-of-the-art analytical attributes, such as stable isotopes of nitrogen and carbon. Results present the possibility to correctly (94%) classify N fertilizers using multivariate fingerprinting with linear discriminant analysis. We extract analytical cut-off values for discriminants indicative for ingredient origin and conclude that, when a fertilizer has (i) a bulk δ15N below 2‰; and (ii) a relatively high total N content (> 15%), from which (iii) a high share (> 50%) is water soluble (i.e. in ammonium or nitrate form), it is extremely unlikely to be of pure biologic origin. We also present additional analyses (e.g. amino acids, peptide sequences, δ13C of specific compounds, and stable isotopes of boron) that can then be used to further trace down the N sources in novel fertilizer products. This work contributes to future debates, regulations, and further development of analytical standards for solid N fertilizers, possibly to be used in fraud detection.

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Acknowledgements

Lab analyses at ISOFYS were conducted and coordinated by Katja Van Nieuland. We further thank Didier Coppieters, Carl-Philippe Delbeke, and Stefan Smeets for their review and critical inputs. We thank Geert Haesaert for sharing samples and we are grateful to all companies that provided fertilizer samples.

Funding

No funding for this research was received. D. Billard is employed and P. De Bauw was employed during conceptualization (2021) by Tessenderlo Group (TG). TG, among other companies, assisted with providing some of the included samples for analyses in the study.

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Contributions

PD, SB, DB, and PB conceived and planned the experiments. PD and SB carried out the experiments. P.D. conducted statistical analyses. PD, SB, MP, and DB contributed to sample preparation. All authors contributed to the interpretation of the results. P.D. took the lead in writing the manuscript. All authors provided critical feedback and helped shape the research, analysis and manuscript.

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Correspondence to Pieterjan De Bauw.

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Conflict of interest

None of the other authors (S. Bodé, P. Boeckx, and M. Perneel) have any competing interests to declare.

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Mention of trade names of commercial products does not constitute endorsement or recommendation for their use. Results of this study are not intended for and should not be used for commercial purposes.

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De Bauw, P., Bodé, S., Perneel, M. et al. Nitrogen fertilizer classification using multivariate fingerprinting with stable isotopes. Nutr Cycl Agroecosyst (2023). https://doi.org/10.1007/s10705-023-10280-2

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  • DOI: https://doi.org/10.1007/s10705-023-10280-2

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